针对大气湍流导致的成像失真，提出修复算法与性能评估新方法。
Restoration algorithms and system performance evaluation for active imagers
- 设计算法修复斑点、闪烁和图像抖动等湍流畸变
- 基于北约野外试验数据验证，改进德国TRM3指标获得类似MTF的度量
- 适用于红外/主动成像系统性能评估与算法研发
本文研究主动成像系统的两个相关领域。首先，探索用于修复由大气湍流引起的斑点、闪烁和图像抖动等伪影的图像处理算法。其次，研究此类系统性能的评估方法。为此，提出一种改进的德国TRM3指标，可获取类似调制传递函数（MTF）的测量结果。实验基于北约TG40野外试验所采集的数据集进行。
原文摘要 · Abstract (English)
This paper deals with two fields related to active imaging system. First, we begin to explore image processing algorithms to restore the artefacts like speckle, scintillation and image dancing caused by atmospheric turbulence. Next, we examine how to evaluate the performance of this kind of systems. To do this task, we propose a modified version of the german TRM3 metric which permits to get MTF-like measures. We use the database acquired during NATO-TG40 field trials to make our tests.
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